pylama
Code audit tool for python
Decision gist · record as of 2026-08-14
Yes. Pylama is a stable, actively maintained tool with no known vulnerabilities, low install friction, and permissive licensing. It solves a real problem—consolidating multiple linters into one interface—and is well-suited for teams wanting standardized code auditing without managing separate tool configurations. Install it if you need unified linting across multiple checkers.AI-flagged interpretation of the facts on this page — verify before relying
Before you install
- Requires Python 3.7 or later.
- On Windows, the curses library may need to be installed separately if tests fail.
- Low friction installation with four runtime dependencies (mccabe, pycodestyle, pydocstyle, pyflakes) bundled by default.
License · maintenance · safety
MIT (permissive) — MIT license permits use, modification, and distribution with minimal restrictions—suitable for both open-source and proprietary projects.
last release 2022-08-08 (1467 days) · last repo commit 2026-06-22 · 1,047 stars
0 known vulnerabilities (OSV.dev, 2026-08-14) · 188,388 downloads/mo, #9,946 on PyPI
Alternatives
Verify before relying
$ pip install pylama
$ pylama
Or check a specific path:
$ pylama path/to/code
Ignore specific errors:
$ pylama -i W,E501
Choose specific linters:
$ pylama -l "pycodestyle,mccabe"- Whether optional linters (pylint, mypy, radon, eradicate, vulture) are actively maintained and compatible with current Python versions.
- Performance characteristics when checking large codebases with concurrent mode enabled.
- Compatibility of TOML configuration with modern pyproject.toml tooling ecosystems.
What it is and what it does
Pylama is a command-line code audit tool that aggregates output from multiple Python linters into a single, unified report. It bundles pycodestyle (style checks), pydocstyle (docstring checks), pyflakes (logical errors), and mccabe (complexity analysis) by default, and can optionally integrate pylint, mypy, radon, eradicate, and vulture for deeper analysis. You run it once against your codebase and get consolidated results across all enabled checkers, configurable via command-line flags, INI files, or TOML configuration.
The tool is designed for developers and teams who want a single entry point for code quality checks rather than managing multiple linter invocations. It supports file-level configuration overrides, inline noqa comments to suppress specific warnings, and multiple output formats (pylint, pycodestyle, parsable, JSON). It can be integrated as a Git or Mercurial pre-commit hook and supports concurrent checking for large projects.
Use it for
- Run a single command to check Python code against multiple style and quality standards simultaneously.
- Enforce consistent code style across a team by configuring shared pylama.ini or pyproject.toml rules.
- Integrate code auditing into CI/CD pipelines with JSON or parsable output formats.
- Suppress specific warnings on a per-file or per-line basis using configuration sections or noqa comments.
- Install as a Git hook to catch code quality issues before commit.
Worth the install?
AI-flagged interpretation of the facts on this page. Verify before relying on it.
Yes.
Pylama is a stable, actively maintained tool with no known vulnerabilities, low install friction, and permissive licensing. It solves a real problem—consolidating multiple linters into one interface—and is well-suited for teams wanting standardized code auditing without managing separate tool configurations. Install it if you need unified linting across multiple checkers.
Install
pylama on PyPI
Before you install
Low friction installation with four runtime dependencies (mccabe, pycodestyle, pydocstyle, pyflakes) bundled by default. The project is actively maintained with recent commits and remains in production/stable status.
Requires Python 3.7 or later. On Windows, the curses library may need to be installed separately if tests fail.
License in practice
MIT license permits use, modification, and distribution with minimal restrictions—suitable for both open-source and proprietary projects.
Quickstart
$ pip install pylama
$ pylama
Or check a specific path:
$ pylama path/to/code
Ignore specific errors:
$ pylama -i W,E501
Choose specific linters:
$ pylama -l "pycodestyle,mccabe"Verify before relying
- Whether optional linters (pylint, mypy, radon, eradicate, vulture) are actively maintained and compatible with current Python versions.
- Performance characteristics when checking large codebases with concurrent mode enabled.
- Compatibility of TOML configuration with modern pyproject.toml tooling ecosystems.
Package facts
| License | MIT permissive |
| Python support | Supports the current Python release >=3.7 |
| Install friction | Low. Pure-Python wheel |
| Runtime dependencies | 4 packagesmccabepycodestylepydocstylepyflakes |
| Maintenance | Actively maintained 1,467 days since the last release |
| Last repo commit | |
| First released | |
| Downloads | 188,388 / month, #9,946 on PyPI 30-day window, as of 2026-08-14 |
| Known vulnerabilities | None known OSV.dev, checked 2026-08-14 |
| Classifiers | Development Status :: 5 - Production/StableEnvironment :: ConsoleIntended Audience :: DevelopersIntended Audience :: System AdministratorsLicense :: OSI Approved :: MIT LicenseProgramming Language :: PythonProgramming Language :: Python :: 3Programming Language :: Python :: 3.10Programming Language :: Python :: 3.7Programming Language :: Python :: 3.8Programming Language :: Python :: 3.9Topic :: Software Development :: Quality AssuranceTopic :: Software Development :: Testing |
Evidence: pylama-8.4.1-py3-none-any.whl
Tags
Let your AI agent find packages like this
Example. Real query, live index.
You found this page by searching. An agent finds it by wishing: SkillFed indexes 14,416 PyPI packages by what they can do, searchable in plain language.
wish › “code audit python”
- pylamaPylama is a code audit tool that wraps multiple Python linters…
- django-easy-auditLogs every CRUD operation, authentication event, and HTTP request in…
- docstr-coverageMeasures docstring coverage in Python source code by scanning for…
Give your agent the search over MCP, or paste the wish link into any chat.
More Testing packages
Pluggy provides a plugin system that lets you define hook specifications and register implementations to be called in sequence, enabling extensible Python applications without tight coupling.
Install it if you're building an extensible application or framework.
pytest is a testing framework that lets you write test functions using plain assert statements and automatically discovers and runs them, with detailed failure reporting.
virtualenv creates isolated Python environments where packages can be installed independently without affecting the system Python or other projects.
Coverage.py measures which lines of Python code are executed during test runs, reporting coverage percentages and identifying untested code paths.
Install it if you want to measure test completeness or enforce coverage thresholds in your project.
pytest-asyncio is a pytest plugin that enables writing and running async test functions using the asyncio library, allowing developers to await code directly within test cases.
Install it if you write tests for any asyncio-based code.
A pytest plugin that generates test reports in Common Test Report Format (CTRF) as JSON, compatible with pytest-xdist and pytest-playwright for distributed and browser-based testing.
Install it if you need CTRF-formatted test output for CI/CD integration or cross-tool reporting.
See also flake8 · cython-lint · flake8-black · yamllint · pep8-naming · pycodestyle · prospector · pydocstyle · mccabe · refurb